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Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem., , , and . CoRR, (2021)Co-evolutionary Diversity Optimisation for the Traveling Thief Problem., , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 237-249. Springer, (2022)Entropy-based evolutionary diversity optimisation for the traveling salesperson problem., , , and . GECCO, page 600-608. ACM, (2021)Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers., , and . GECCO (Companion), page 1737-1744. ACM, (2018)Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection., , and . CEC, page 1-8. IEEE, (2020)The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics., , , and . GECCO, page 1286-1294. ACM, (2020)Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference., and . AI*IA, volume 10037 of Lecture Notes in Computer Science, page 3-12. Springer, (2016)ecr 2.0: a modular framework for evolutionary computation in R.. GECCO (Companion), page 1187-1193. ACM, (2017)Performance assessment of multi-objective evolutionary algorithms with the R package ecr.. GECCO (Companion), page 1350-1356. ACM, (2018)On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem., , and . GECCO, page 516-523. ACM, (2019)